def fields(cls):
return [
ScalarField('rho', need_nn=True),
ScalarField('phi', need_nn=True),
ScalarField('theta', need_nn=True),
VectorField('v')
]
def fields(cls):
return [
ScalarField('rho'),
ScalarField('phi', need_nn=True),
VectorField('v'),
ScalarField('phi_laplacian')
]
def fields(cls):
return [
ScalarField('rho'),
VectorField('v'),
ScalarField('alpha', init=2.0),
ScalarField('entropy')
]
def visualization_fields(cls, dim):
if dim == 2:
return [ScalarField('v^2',
expr=lambda f: np.square(f['vx']) + np.square(f['vy']))]
else:
return [ScalarField('v^2',
expr=lambda f: np.square(f['vx']) + np.square(f['vy']) +
np.square(f['vz']))]
def fields(cls):
return [ScalarField('rho'), VectorField('v')]
def fields(cls):
return [ScalarField('data')]
def fields(cls):
return [
ScalarField('output_x'),
ScalarField('output_y'),
ScalarField('output_xy')
]
def fields(cls):
return [
ScalarField('v_sq', gpu_array=True, init=0.0),
ScalarField('vort_sq', gpu_array=True, init=0.0)
]